The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-09-04"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "26609482 (up from 26304856 yesterday: 1.16 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "874369 (up from 868733 yesterday: 0.65 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5400478

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.29



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6200518 50502 0.82 887266 187755 965 0.52 3.03
Brazil 4091801 50163 1.24 816281 125502 888 0.71 3.07
India 4023179 86432 2.20 1497257 69561 1089 1.59 1.73
Russia 1011987 5064 0.50 101209 17598 119 0.68 1.74
Peru 670145 13016 1.98 153849 29405 337 1.16 4.39
Colombia 641574 0 0.00 196463 20618 0 0.00 3.21
South Africa 635078 2063 0.33 55938 14678 115 0.79 2.31
Mexico 623090 6196 1.00 111721 66851 522 0.79 10.73
Spain 498989 10476 2.14 156176 29418 184 0.63 5.90
Argentina 461882 10684 2.37 179445 9623 262 2.80 2.08
Chile 418469 1968 0.47 36358 11494 72 0.63 2.75
Iran 382772 2026 0.53 43947 22044 118 0.54 5.76
France 347267 9047 2.67 97612 30730 18 0.06 8.85
United Kingdom 344686 1978 0.58 29065 41626 10 0.02 12.08
Bangladesh 321615 1929 0.60 49734 4412 29 0.66 1.37
Saudi Arabia 319141 822 0.26 23239 4015 33 0.83 1.26
Pakistan 298025 513 0.17 10725 6340 5 0.08 2.13
Turkey 276555 1612 0.59 29694 6564 53 0.81 2.37
Italy 274644 1732 0.63 21835 35518 11 0.03 12.93
Iraq 252075 5036 2.04 83785 7359 84 1.15 2.92
Germany 250283 1443 0.58 26492 9327 5 0.05 3.73
Philippines 232072 3669 1.61 78412 3737 49 1.33 1.61
Indonesia 187537 3269 1.77 52414 7832 82 1.06 4.18
Ukraine 134069 2769 2.11 44152 2812 53 1.92 2.10
Canada 133141 614 0.46 9536 9190 1 0.01 6.90
Israel 126419 1964 1.58 35339 993 8 0.81 0.79
Qatar 119637 217 0.18 5105 201 0 0.00 0.17
Bolivia 119580 799 0.67 21630 5343 55 1.04 4.47
Ecuador 117175 815 0.70 17766 6674 26 0.39 5.70
Kazakhstan 106225 104 0.10 3938 1588 0 0.00 1.49
Egypt 99582 157 0.16 3362 5495 16 0.29 5.52
Dominican Republic 96629 0 0.00 12141 1801 0 0.00 1.86
Panama 95596 682 0.72 16194 2063 17 0.83 2.16
Romania 92595 1339 1.47 24549 3812 47 1.25 4.12
China 90008 22 0.02 794 4728 0 0.00 5.25
Kuwait 88243 865 0.99 13058 537 1 0.19 0.61
Belgium 87174 630 0.73 10061 9901 2 0.02 11.36
Oman 86380 0 0.00 3637 705 0 0.00 0.82
Sweden 84985 256 0.30 691 5835 3 0.05 6.87
Guatemala 77040 682 0.89 15612 2825 21 0.75 3.67
Netherlands 76173 817 1.08 13046 6270 2 0.03 8.23
United Arab Emirates 72766 612 0.85 8947 387 0 0.00 0.53
Belarus 72485 183 0.25 3177 701 5 0.72 0.97
Japan 70866 588 0.84 17048 1352 18 1.35 1.91
Poland 69820 691 1.00 14501 2100 8 0.38 3.01
Morocco 68605 1750 2.62 29364 1292 39 3.11 1.88
Honduras 63798 640 1.01 14331 1984 30 1.54 3.11
Portugal 59457 406 0.69 5674 1833 4 0.22 3.08
Singapore 56948 40 0.07 1368 27 0 0.00 0.05
Ethiopia 56516 1303 2.36 29274 880 24 2.80 1.56
Nigeria 54743 155 0.28 6298 1051 3 0.29 1.92
Bahrain 54095 662 1.24 8043 195 5 2.63 0.36
Venezuela 50973 1096 2.20 19592 412 10 2.49 0.81
Algeria 45773 304 0.67 8109 1539 10 0.65 3.36
Costa Rica 45680 1222 2.75 18749 469 9 1.96 1.03
Ghana 44777 64 0.14 2930 283 3 1.07 0.63
Armenia 44461 190 0.43 3162 891 4 0.45 2.00
Nepal 44236 1359 3.17 18685 271 14 5.45 0.61
Kyrgyzstan 44199 64 0.15 2826 1060 1 0.09 2.40
Switzerland 43532 405 0.94 5861 2013 0 0.00 4.62
Uzbekistan 42998 310 0.73 9177 338 7 2.11 0.79
Moldova 38906 534 1.39 9423 1047 11 1.06 2.69
Afghanistan 38304 16 0.04 873 1409 0 0.00 3.68
Azerbaijan 37031 132 0.36 3013 543 2 0.37 1.47
Kenya 34884 179 0.52 5550 589 4 0.68 1.69
Serbia 31772 96 0.30 2539 721 3 0.42 2.27
Ireland 29303 97 0.33 2308 1777 0 0.00 6.06
Austria 28729 357 1.26 5853 735 0 0.00 2.56
Czechia 27249 797 3.01 7556 429 3 0.70 1.57
Australia 26207 71 0.27 3172 748 11 1.49 2.85
El Salvador 26099 99 0.38 3785 744 5 0.68 2.85
West Bank and Gaza 25142 671 2.74 9308 170 3 1.80 0.68
Bosnia and Herzegovina 21142 338 1.62 5607 639 3 0.47 3.02
Korea, South 21010 168 0.81 5971 333 2 0.60 1.58
Paraguay 20654 695 3.48 11632 398 25 6.70 1.93
Cameroon 19604 0 0.00 1135 415 0 0.00 2.12
Lebanon 19490 527 2.78 11445 183 4 2.23 0.94
Cote d’Ivoire 18269 61 0.34 1334 119 0 0.00 0.65
Denmark 17974 174 0.98 2216 627 1 0.16 3.49
Bulgaria 16954 179 1.07 2711 665 7 1.06 3.92
Libya 16445 672 4.26 9118 262 8 3.15 1.59
Madagascar 15187 81 0.54 1544 198 1 0.51 1.30
North Macedonia 14871 109 0.74 2356 609 3 0.50 4.10
Senegal 13881 55 0.40 2009 289 2 0.70 2.08
Sudan 13189 0 0.00 1027 823 0 0.00 6.24
Kosovo 12683 0 0.00 1553 488 0 0.00 3.85
Zambia 12639 116 0.93 3618 292 0 0.00 2.31
Croatia 11428 334 3.01 5170 195 1 0.52 1.71
Norway 11231 111 1.00 1323 264 0 0.00 2.35
Greece 11200 202 1.84 4568 279 1 0.36 2.49
Congo (Kinshasa) 10149 24 0.24 544 259 0 0.00 2.55

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 730662 4644 0.64 117561 13638 145 1.07 1.87 18492.05 345.16 1 in 54
Texas 651350 5928 0.92 111677 13426 130 0.98 2.06 22463.54 463.03 1 in 45
Florida 640211 3198 0.50 76926 11750 100 0.86 1.84 29808.12 547.08 1 in 34
New York 437971 864 0.20 13804 32982 6 0.02 7.53 22513.67 1695.42 1 in 44
Georgia 279354 2066 0.75 47459 5931 63 1.07 2.12 26310.90 558.61 1 in 38
Illinois 247298 5594 2.31 43275 8362 38 0.46 3.38 19515.59 659.89 1 in 51
Arizona 204681 728 0.36 12960 5171 41 0.80 2.53 26879.04 679.06 1 in 37
New Jersey 193422 449 0.23 6258 15978 7 0.04 8.26 21776.39 1798.88 1 in 46
North Carolina 174253 2052 1.19 32083 2839 36 1.28 1.63 16614.38 270.69 1 in 60
Tennessee 160597 1051 0.66 30139 1837 22 1.21 1.14 23502.55 268.84 1 in 43
Louisiana 151473 822 0.55 14736 5035 14 0.28 3.32 32583.29 1083.08 1 in 31
Pennsylvania 142495 925 0.65 14763 7735 11 0.14 5.43 11130.69 604.20 1 in 90
Alabama 130393 1108 0.86 24084 2266 33 1.48 1.74 26593.53 462.15 1 in 38
Ohio 128444 1332 1.05 21887 4248 22 0.52 3.31 10988.36 363.42 1 in 91
Virginia 124738 1101 0.89 19900 2662 10 0.38 2.13 14613.99 311.87 1 in 68
South Carolina 123325 1629 1.34 18484 2846 39 1.39 2.31 23952.58 552.76 1 in 42
Massachusetts 121758 212 0.17 -970 9100 23 0.25 7.47 17520.39 1309.45 1 in 57
Michigan 116295 1053 0.91 15571 6798 7 0.10 5.85 11644.80 680.69 1 in 86
Maryland 110831 819 0.74 11956 3789 11 0.29 3.42 18332.26 626.73 1 in 55
Indiana 97884 1030 1.06 19252 3350 18 0.54 3.42 14539.63 497.61 1 in 69
Missouri 91228 1589 1.77 25435 1607 21 1.32 1.76 14864.21 261.84 1 in 67
Mississippi 85939 823 0.97 15009 2558 22 0.87 2.98 28875.91 859.50 1 in 35
Wisconsin 79354 1498 1.92 15127 1153 7 0.61 1.45 13629.01 198.03 1 in 73
Minnesota 78966 843 1.08 15243 1899 10 0.53 2.40 14001.98 336.72 1 in 71
Washington 76335 479 0.63 10196 1953 8 0.41 2.56 10024.44 256.47 1 in 100
Nevada 70712 489 0.70 10963 1375 12 0.88 1.94 22957.28 446.41 1 in 44
Iowa 68744 1053 1.56 17497 1158 22 1.94 1.68 21788.42 367.03 1 in 46
Arkansas 64175 1094 1.73 11783 873 12 1.39 1.36 21265.32 289.28 1 in 47
Oklahoma 62040 1013 1.66 15143 846 11 1.32 1.36 15678.66 213.80 1 in 64
Colorado 58267 0 0.00 5748 1955 0 0.00 3.36 10118.02 339.48 1 in 99
Utah 53839 513 0.96 7863 419 5 1.21 0.78 16793.42 130.69 1 in 60
Connecticut 53365 156 0.29 2468 4468 0 0.00 8.37 14967.94 1253.20 1 in 67
Kentucky 51677 792 1.56 13379 987 11 1.13 1.91 11566.87 220.92 1 in 86
Kansas 45365 971 2.19 12335 478 7 1.49 1.05 15571.61 164.07 1 in 64
Nebraska 35661 192 0.54 5673 404 0 0.00 1.13 18435.10 208.85 1 in 54
Puerto Rico 34241 43 0.13 9113 455 7 1.56 1.33 10721.44 142.47 1 in 93
Idaho 33193 266 0.81 6022 382 10 2.69 1.15 18522.21 213.16 1 in 54
Oregon 27601 265 0.97 4988 475 5 1.06 1.72 6544.03 112.62 1 in 153
New Mexico 25902 90 0.35 2742 794 3 0.38 3.07 12352.94 378.67 1 in 81
Rhode Island 22243 100 0.45 1908 1055 0 0.00 4.74 20996.62 995.88 1 in 48
Delaware 17752 99 0.56 1412 606 0 0.00 3.41 18230.29 622.33 1 in 55
South Dakota 14596 259 1.81 4572 170 1 0.59 1.16 16499.01 192.16 1 in 61
District of Columbia 14186 51 0.36 1068 611 2 0.33 4.31 20100.63 865.75 1 in 50
North Dakota 12973 344 2.72 4651 150 0 0.00 1.16 17023.55 196.83 1 in 59
West Virginia 11042 187 1.72 2765 245 5 2.08 2.22 6178.56 137.09 1 in 162
Hawaii 9473 271 2.95 4930 81 2 2.53 0.86 6690.58 57.21 1 in 149
Montana 8019 148 1.88 2478 114 3 2.70 1.42 7502.96 106.66 1 in 133
New Hampshire 7368 21 0.29 404 432 0 0.00 5.86 5418.80 317.71 1 in 185
Alaska 5584 120 2.20 1511 40 0 0.00 0.72 7633.16 54.68 1 in 131
Maine 4633 15 0.32 517 134 1 0.75 2.89 3446.63 99.69 1 in 290
Wyoming 3990 49 1.24 807 42 1 2.44 1.05 6894.06 72.57 1 in 145
Vermont 1642 5 0.31 141 58 0 0.00 3.53 2631.46 92.95 1 in 380

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11796970 730662 6.19 2240372 117561 5.25 298565.1
2 Texas 5119753 651350 12.72 837712 111677 13.33 176568.3
3 Florida 4740007 640211 13.51 579442 76926 13.28 220694.0
4 New York 8610853 437971 5.09 1709017 13804 0.81 442636.3
5 Georgia 2432125 279354 11.49 462072 47459 10.27 229069.2
6 Illinois 4311869 247298 5.74 1025189 43275 4.22 340272.2
7 Arizona 1236928 204681 16.55 169353 12960 7.65 162435.4
8 New Jersey 2964722 193422 6.52 534881 6258 1.17 333782.8
9 North Carolina 2389096 174253 7.29 511694 32083 6.27 227791.5
10 Tennessee 2283234 160597 7.03 471191 30139 6.40 334139.6
11 Louisiana 1932644 151473 7.84 295632 14736 4.98 415730.2
12 Pennsylvania 1714541 142495 8.31 286852 14763 5.15 133927.7
13 Alabama 970413 130393 13.44 145429 24084 16.56 197914.8
14 Ohio 2349585 128444 5.47 570176 21887 3.84 201006.5
15 Virginia 1639828 124738 7.61 319556 19900 6.23 192118.1
16 South Carolina 981984 123325 12.56 130200 18484 14.20 190724.1
17 Massachusetts 1820864 121758 6.69 409332 -970 -0.24 262013.6
18 Michigan 2877981 116295 4.04 616830 15571 2.52 288176.8
19 Maryland 1371465 110831 8.08 261192 11956 4.58 226850.4
20 Indiana 1117427 97884 8.76 230938 19252 8.34 165982.0
21 Missouri 1021730 91228 8.93 196861 25435 12.92 166475.3
22 Mississippi 587404 85939 14.63 76362 15009 19.66 197370.5
23 Wisconsin 1294667 79354 6.13 181373 15127 8.34 222358.4
24 Minnesota 1168307 78966 6.76 194761 15243 7.83 207160.1
25 Washington 1518089 76335 5.03 502643 10196 2.03 199357.9
26 Nevada 608815 70712 11.61 70611 10963 15.53 197657.2
27 Iowa 642335 68744 10.70 102098 17497 17.14 203588.2
28 Arkansas 748411 64175 8.57 159751 11783 7.38 247996.8
29 Oklahoma 914395 62040 6.78 171153 15143 8.85 231084.6
30 Colorado 1029791 58267 5.66 192501 5748 2.99 178822.4
31 Utah 679716 53839 7.92 89899 7863 8.75 212016.5
32 Connecticut 1237658 53365 4.31 299968 2468 0.82 347141.2
33 Kentucky 852440 51677 6.06 151798 13379 8.81 190801.8
34 Kansas 427205 45365 10.62 84162 12335 14.66 146638.8
35 Nebraska 373592 35661 9.55 59368 5673 9.56 193129.9
37 Idaho 263727 33193 12.59 45506 6022 13.23 147163.8
38 Oregon 576929 27601 4.78 103822 4988 4.80 136786.4
39 New Mexico 776796 25902 3.33 126305 2742 2.17 370462.3
40 Rhode Island 557522 22243 3.99 327657 1908 0.58 526281.4
41 Delaware 246642 17752 7.20 39167 1412 3.61 253287.2
42 South Dakota 152293 14596 9.58 26279 4572 17.40 172148.8
43 District of Columbia 303351 14186 4.68 67046 1068 1.59 429828.5
44 North Dakota 207756 12973 6.24 31153 4651 14.93 272623.5
45 West Virginia 448911 11042 2.46 104211 2765 2.65 251188.6
46 Hawaii 213722 9473 4.43 60105 4930 8.20 150947.3
47 Montana 259988 8019 3.08 60127 2478 4.12 243257.2
48 New Hampshire 217263 7368 3.39 35647 404 1.13 159786.2
49 Alaska 381937 5584 1.46 86008 1511 1.76 522096.4
50 Maine 286603 4633 1.62 81560 517 0.63 213212.6
51 Wyoming 78301 3990 5.10 18309 807 4.41 135291.2
52 Vermont 142198 1642 1.15 34781 141 0.41 227885.4

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 883862 40018 4.74 636574 72.02 220661 26276 690 2.70 2.97
Andhra Pradesh 487331 21601 4.64 382104 78.41 100880 4347 147 3.50 0.89
Tamil Nadu 457697 11846 2.66 398366 87.04 51580 7751 143 1.88 1.69
Karnataka 389232 19026 5.14 283298 72.78 99617 6298 244 4.03 1.62
Uttar Pradesh 259765 12664 5.13 195959 75.44 59963 3843 152 4.12 1.48
Delhi 188193 5887 3.23 163785 87.03 19870 4538 38 0.84 2.41
West Bengal 177701 6020 3.51 150801 84.86 23390 3510 116 3.42 1.98
Bihar 145861 3705 2.61 128376 88.01 16734 750 22 3.02 0.51
Telangana 140969 5085 3.74 107530 76.28 32553 886 20 2.31 0.63
Assam 123923 5589 4.72 95061 76.71 28507 352 22 6.67 0.28
Odisha 120221 6810 6.00 93774 78.00 25856 591 16 2.78 0.49
Gujarat 103006 2631 2.62 83646 81.20 16268 3092 30 0.98 3.00
Rajasthan 89363 3136 3.64 73245 81.96 14996 1122 27 2.47 1.26
Kerala 84760 5134 6.45 62555 73.80 21801 338 22 6.96 0.40
Haryana 74272 4173 5.95 58580 78.87 14911 781 41 5.54 1.05
Madhya Pradesh 71880 3294 4.80 54649 76.03 15688 1543 60 4.05 2.15
Punjab 61527 3012 5.15 43849 71.27 15870 1808 118 6.98 2.94
Jharkhand 49797 3317 7.14 34330 68.94 15005 462 18 4.05 0.93
Chhattisgarh 43163 5196 13.69 20487 47.46 22320 356 41 13.02 0.82
Jammu and Kashmir 42241 2298 5.75 31924 75.58 9547 770 27 3.63 1.82
Uttarakhand 23961 1781 8.03 15982 66.70 7575 330 30 10.00 1.38
Goa 20455 1100 5.68 15281 74.71 4945 229 17 8.02 1.12
Puducherry 16566 985 6.32 11107 67.05 5161 298 38 14.62 1.80
Tripura 14524 691 5.00 8483 58.41 5884 136 7 5.43 0.94
Himachal Pradesh 7018 403 6.09 4941 70.40 1977 53 6 12.77 0.76
Manipur 6883 274 4.15 4975 72.28 1872 36 4 12.50 0.52
Chandigarh 5502 437 8.63 3290 59.80 2140 69 6 9.52 1.25
Arunachal Pradesh 4914 340 7.43 3381 68.80 1525 8 0 0.00 0.16
Nagaland 4128 62 1.52 3419 82.82 689 8 0 0.00 0.19
Andaman and Nicobar Islands 3292 69 2.14 2904 88.21 338 50 2 4.17 1.52
Ladakh 2996 156 5.49 2127 70.99 834 35 0 0.00 1.17
Meghalaya 2916 290 11.04 1527 52.37 1374 15 2 15.38 0.51
Dadra and Nagar Haveli and Daman and Diu 2531 72 2.93 2230 88.11 275 2 0 0.00 0.08
Sikkim 1901 163 9.38 1347 70.86 549 5 0 0.00 0.26
Mizoram 1093 53 5.10 713 65.23 380 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1671516 101119 337 0.33 6.05 244 26 7669 16876 16.69
Piemonte 605811 33146 82 0.25 5.47 110 7 1648 4149 12.52
Emilia-Romagna 942445 32371 126 0.39 3.43 114 13 3189 4463 13.79
Veneto 1611553 23577 273 1.17 1.46 79 10 2780 2126 9.02
Toscana 567766 12179 99 0.82 2.15 67 8 1817 1143 9.39
Lazio 628169 11771 171 1.47 1.87 363 9 3688 879 7.47
Liguria 246584 11086 47 0.43 4.50 48 6 673 1572 14.18
Campania 442610 7649 171 2.29 1.73 196 5 2731 447 5.84
Marche 211130 7311 17 0.23 3.46 12 1 341 988 13.51
Puglia 320159 5741 117 2.08 1.79 150 7 1086 560 9.75
P.A. Trento 192333 5246 23 0.44 2.73 7 0 230 405 7.72
Sicilia 365207 4565 78 1.74 1.25 87 11 1284 288 6.31
Friuli Venezia Giulia 338607 3854 23 0.60 1.14 11 4 412 349 9.06
Abruzzo 162483 3853 25 0.65 2.37 32 1 471 472 12.25
P.A. Bolzano 141647 2973 11 0.37 2.10 8 2 209 292 9.82
Sardegna 143293 2421 66 2.80 1.69 41 6 1010 135 5.58
Umbria 162240 1874 35 1.90 1.16 11 3 327 80 4.27
Calabria 162488 1577 19 1.22 0.97 19 1 313 97 6.15
Valle d’Aosta 25417 1249 2 0.16 4.91 2 0 35 146 11.69
Basilicata 58690 548 7 1.29 0.93 3 1 108 28 5.11
Molise 34595 534 4 0.75 1.54 3 0 78 23 4.31

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 63117 184 0.29 5767 0 0.00 9.14 7392.76 675.48 1 in 135
Ontario 44852 132 0.30 2859 0 0.00 6.37 3048.70 194.33 1 in 328
Alberta 14474 164 1.15 242 0 0.00 1.67 3279.75 54.84 1 in 305
British Columbia 6162 121 2.00 211 1 0.48 3.42 1205.65 41.28 1 in 829
Saskatchewan 1638 4 0.24 24 0 0.00 1.47 1386.18 20.31 1 in 721
Manitoba 1273 9 0.71 16 0 0.00 1.26 924.13 11.62 1 in 1082
Nova Scotia 1085 0 0.00 65 0 0.00 5.99 1110.02 66.50 1 in 901
Newfoundland and Labrador 269 0 0.00 3 0 0.00 1.12 515.95 5.75 1 in 1938
New Brunswick 192 0 0.00 2 0 0.00 1.04 246.16 2.56 1 in 4062
Prince Edward Island 46 0 0.00 0 0 NaN 0.00 290.85 0.00 1 in 3438
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4850 94 1.94
Guangdong 1760 8 0.45
Zhejiang 1278 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Shanghai 916 7 0.76
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 656 3 0.46
Chongqing 583 6 1.03
Fujian 385 1 0.26
Shaanxi 374 3 0.80
Hebei 365 6 1.64
Liaoning 263 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 257 2 0.78
Tianjin 231 3 1.30
Shanxi 203 0 0.00
Yunnan 201 2 1.00
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 18950.24 573.82 1 in 53
Brazil 19549.93 599.63 1 in 51
India 3004.61 51.95 1 in 333
Russia 7003.37 121.79 1 in 143
Peru 20831.36 914.05 1 in 48
Colombia 13074.67 420.18 1 in 76
South Africa 11196.72 258.78 1 in 89
Mexico 4822.68 517.42 1 in 207
Spain 10694.15 630.48 1 in 94
Argentina 10433.30 217.37 1 in 96
Chile 23183.88 636.79 1 in 43
Iran 4716.26 271.61 1 in 212
France 5183.86 458.73 1 in 193
United Kingdom 5187.93 626.52 1 in 193
Bangladesh NA NA 1 in NA
Saudi Arabia 9688.55 121.89 1 in 103
Pakistan 1512.82 32.18 1 in 661
Turkey 3422.29 81.23 1 in 292
Italy 4541.07 587.27 1 in 220
Iraq 6586.75 192.29 1 in 152

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 246407 5977 2.43
Miami-Dade Florida 160469 2632 1.64
Maricopa Arizona 135495 3064 2.26
Cook Illinois 129545 5086 3.93
Harris Texas 109834 2300 2.09
Dallas Texas 73055 991 1.36
Broward Florida 72880 1212 1.66
Queens New York 70496 7231 10.26
Kings New York 65440 7290 11.14
Clark Nevada 60514 1190 1.97
Riverside California 53987 1067 1.98
Bronx New York 51820 4917 9.49
Orange California 49258 1042 2.12
San Bernardino California 48615 744 1.53
Bexar Texas 47184 1145 2.43
Suffolk New York 45102 2005 4.45
Nassau New York 45008 2198 4.88
Palm Beach Florida 42762 1160 2.71
Tarrant Texas 42511 630 1.48
San Diego California 39899 701 1.76
Hillsborough Florida 37981 558 1.47
Westchester New York 37152 1452 3.91
Orange Florida 36827 386 1.05
Philadelphia Pennsylvania 34445 1759 5.11
New York New York 32310 3172 9.82
Wayne Michigan 31825 2895 9.10
Kern California 29763 296 0.99
Hidalgo Texas 28369 1250 4.41
Shelby Tennessee 27474 398 1.45
Duval Florida 27405 268 0.98
Travis Texas 26854 393 1.46
Prince George’s Maryland 26697 798 2.99
Mecklenburg North Carolina 26021 306 1.18
Fresno California 25978 312 1.20
Middlesex Massachusetts 25558 2075 8.12
Fulton Georgia 25439 535 2.10
Gwinnett Georgia 24870 351 1.41
Milwaukee Wisconsin 24601 496 2.02
Salt Lake Utah 24584 235 0.96
Davidson Tennessee 23830 261 1.10
Hennepin Minnesota 23798 888 3.73
Franklin Ohio 22629 565 2.50
Suffolk Massachusetts 22529 1107 4.91
Bergen New Jersey 21752 2036 9.36
Pima Arizona 21574 593 2.75
Cameron Texas 21460 806 3.76
El Paso Texas 20686 449 2.17
Essex New Jersey 20463 2119 10.36
Montgomery Maryland 20399 822 4.03
Pinellas Florida 20259 669 3.30
Hudson New Jersey 20227 1509 7.46
St. Louis Missouri 20174 757 3.75
King Washington 20022 735 3.67
Nueces Texas 19076 370 1.94
Fairfield Connecticut 19031 1415 7.44
Lee Florida 19018 437 2.30
Alameda California 18977 296 1.56
Marion Indiana 18956 750 3.96
Sacramento California 18813 327 1.74
Fairfax Virginia 18740 562 3.00
Middlesex New Jersey 18531 1418 7.65
Passaic New Jersey 18469 1248 6.76
Oakland Michigan 18455 1170 6.34
San Joaquin California 18331 368 2.01
Essex Massachusetts 18249 1249 6.84
Santa Clara California 18190 254 1.40
Polk Florida 17566 464 2.64
Cobb Georgia 17479 401 2.29
Union New Jersey 17187 1352 7.87
Providence Rhode Island 17107 0 0.00
DeKalb Georgia 16900 311 1.84
Jefferson Louisiana 16678 553 3.32
Jefferson Alabama 16349 305 1.87
Out of GA Georgia 16307 134 0.82
Cuyahoga Ohio 16066 599 3.73
Baltimore Maryland 15959 608 3.81
Wake North Carolina 15555 209 1.34
Richmond New York 15369 1085 7.06
Stanislaus California 15162 282 1.86
DuPage Illinois 15109 536 3.55
Fort Bend Texas 15100 244 1.62
Lake Illinois 15006 471 3.14
Baltimore City Maryland 14692 465 3.16
Tulare California 14552 243 1.67
Rockland New York 14358 674 4.69
Charleston South Carolina 14325 244 1.70
Contra Costa California 14212 183 1.29
District of Columbia District of Columbia 14186 611 4.31
East Baton Rouge Louisiana 14089 420 2.98
Oklahoma Oklahoma 13923 163 1.17
Tulsa Oklahoma 13923 137 0.98
Polk Iowa 13856 240 1.73
Douglas Nebraska 13852 161 1.16
New Haven Connecticut 13793 1109 8.04
Hartford Connecticut 13635 1426 10.46
Worcester Massachusetts 13551 1059 7.81
Macomb Michigan 13104 982 7.49
Jefferson Kentucky 12617 274 2.17
Greenville South Carolina 12447 266 2.14
Yuma Arizona 12297 326 2.65

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc